In this work, we implement a Susceptible-Infectious-Recovered (SIR) infection process [1]}, [2]}
in a system of self-propelled agents with alignment and repulsion interactions to explore the impact of self-organized spatiotemporal structures on the contagion dynamics.
Our results show that the epidemic outcome depends strongly on the specific emergent properties of each collective state.
We observe that the outbreak thresholds are significantly lower in ordered states with large-scale clusters or band-like structures, and higher in ordered or disordered states with homogeneous density distributions.
By comparing the contagion dynamics of different states, we find that the timescales of the emerging spatial structures and of the infection processes play an essential role in the epidemic outcome.
